{
  "id": 18065486,
  "title": "CME Group director Howard Siegel sells $606,000 in shares",
  "url": "https://urgent.news/2026/11/04/cme-group-director-howard-siegel-sells-606-000-in-shares",
  "topic": "finance",
  "section": "Finance & Markets",
  "published": "2026-11-04T04:31:05.000Z",
  "source": {
    "name": "Investing.com",
    "slug": "investing-com",
    "url": "https://www.investing.com/news/insider-trading-news/cme-group-director-howard-siegel-sells-606000-in-shares-93CH-4997290"
  },
  "original_language": "en",
  "account": "On November 2, 2026, Howard Siegel, a director at CME Group Inc., sold 2,000 shares of Common Stock Class A, totaling $606,000, according to a regulatory filing. The shares were sold at prices between $303.00 and $303.08, with an average price of $303.00. CME Group's stock is currently valued at $304.06, with a market capitalization of $108.8 billion, although some analysis suggests the company is overvalued. After the transaction, Mr. Siegel's indirect beneficial ownership in CME Group remains at 19,873 shares, as held through a trust. This sale was officially reported on November 3, 2026. Despite the sale, CME Group has a history of paying dividends for 24 consecutive years. For those interested in further analysis, a ProTips report and a Pro Research Report on CME Group are available. Recently, CME Group announced a record third-quarter 2026 revenue of $1.74 billion, a 13% increase from the prior year. Adjusted earnings per share reached $3.02, exceeding estimates of $2.98. Additionally, CME's market data revenue increased by 20% to $243 million, continuing a 34-quarter streak of growth. UBS has raised its price target for CME Group shares to $310, maintaining a Neutral rating, while JPMorgan upgraded the stock to Overweight with a new price target of $367, citing a favorable rates outlook. Meanwhile, Interactive Brokers has introduced autonomous trading capabilities powered by AI, allowing trades in various global markets without manual approval. High-frequency trading firms are also boosting investments in AI computing power to improve their machine learning models. This article was AI-generated and reviewed by an editor.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}